Papers citing 'A Framework to Learn with Interpretation'

Title
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 265 1 0 01 Jul 2024
Abnormal component analysis Romain Valla Pavlo Mozharovskyi Florence dÁlché-Buc 134 0 0 26 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 165 2 0 13 Dec 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 350 10 0 14 Sep 2023
Adversarial Attacks on the Interpretation of Neuron Activation Maximization Géraldin Nanfack A. Fulleringer Jonathan Marty Michael Eickenberg Eugene Belilovsky AAML FAtt 118 11 0 12 Jun 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Nikolaos Perrakis Fabian M. Suchanek FAtt 213 1 0 18 May 2023
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Gaël Richard Florence dÁlché-Buc 131 9 0 11 May 2023
Posthoc Interpretation via Quantization Francesco Paissan Cem Subakan Mirco Ravanelli MQ 124 7 0 22 Mar 2023
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam Ahcène Boubekki Stine Hansen Suaiba Amina Salahuddin Robert Jenssen Marina M.-C. Höhne Michael C. Kampffmeyer 119 42 0 15 Oct 2022
Statistical process monitoring of artificial neural networks A. Malinovskaya Pavlo Mozharovskyi Philipp Otto 103 11 0 15 Sep 2022
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 100 51 0 27 Aug 2021